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6 course outlines found
1
GISCI 241
: Principles of Remote Sensing2024 Semester Two (1245)
An introduction to remote sensing tools and techniques and their application within the earth, environmental and urban environments. The course focuses on the processing, analysis and interpretation of data collected by government and commercial satellites, Unmanned Aerial Vehicles (UAV) and aerial photography. The course introduces image interpretation, multispectral images, supervised and unsupervised image classification and change detection. Techniques for analysing remote sensing data are introduced through a series and lab-based activities and are applied during an independent project.
Prerequisite: 60 points passed
2
GISCI 241
: Principles of Remote Sensing2023 Semester Two (1235)
An introduction to remote sensing tools and techniques and their application within the earth, environmental and urban environments. The course focuses on the processing, analysis and interpretation of data collected by government and commercial satellites, Unmanned Aerial Vehicles (UAV) and aerial photography. The course introduces image interpretation, multispectral images, supervised and unsupervised image classification and change detection. Techniques for analysing remote sensing data are introduced through a series and lab-based activities and are applied during an independent project.
Prerequisite: 60 points passed
3
GISCI 241
: Principles of Remote Sensing2022 Semester Two (1225)
An introduction to remote sensing tools and techniques and their application within the earth, environmental and urban environments. The course focuses on the processing, analysis and interpretation of data collected by government and commercial satellites, Unmanned Aerial Vehicles (UAV) and aerial photography. The course introduces image interpretation, multispectral images, supervised and unsupervised image classification and change detection. Techniques for analysing remote sensing data are introduced through a series and lab-based activities and are applied during an independent project.
Prerequisite: 60 points passed
4
GISCI 241
: Principles of Remote Sensing2021 Semester Two (1215)
An introduction to remote sensing tools and techniques and their application within the earth, environmental and urban environments. The course focuses on the processing, analysis and interpretation of data collected by government and commercial satellites, Unmanned Aerial Vehicles (UAV) and aerial photography. The course introduces image interpretation, multispectral images, supervised and unsupervised image classification and change detection. Techniques for analysing remote sensing data are introduced through a series and lab-based activities and are applied during an independent project.
Prerequisite: 60 points passed
5
GISCI 241
: Principles of Remote Sensing2020 Semester Two (1205)
An introduction to remote sensing tools and techniques and their application within the earth, environmental and urban environments. The course focuses on the processing, analysis and interpretation of data collected by government and commercial satellites, Unmanned Aerial Vehicles (UAV) and aerial photography. The course introduces image interpretation, multispectral images, supervised and unsupervised image classification and change detection. Techniques for analysing remote sensing data are introduced through a series and lab-based activities and are applied during an independent project.
Prerequisite: 15 points from EARTHSCI 210, GEOG 140, 210, GISCI 140
6
GISCI 241
: Principles of Remote Sensing2025 Semester One (1253)
An introduction to remote sensing tools and techniques and their application within the earth, environmental and urban environments. The course focuses on the processing, analysis and interpretation of data collected by government and commercial satellites, Unmanned Aerial Vehicles (UAV) and aerial photography. The course introduces image interpretation, multispectral images, supervised and unsupervised image classification and change detection. Techniques for analysing remote sensing data are introduced through a series and lab-based activities and are applied during an independent project.
Prerequisite: 60 points passed or 30 points from ENV 100-103
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